AIMC Topic: Humans

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AI-driven discovery of antiretroviral drug bictegravir and etravirine as inhibitors against monkeypox and related poxviruses.

Communications biology
Monkeypox virus (MPXV) caused the 2022-2023 global mpox and the concurrent outbreaks in Africa, disproportionately affecting immunocompromised individuals such as people living with HIV. With no approved treatment available, we developed a robust art...

Prediction of recurrence after resection in hepatocellular carcinoma via whole liver deep learning on preoperative contrast-enhanced CT.

Scientific reports
This study aimed to develop a fully automated survival prediction (FASP) system that analyzes whole-liver regions from preoperative contrast-enhanced CT scans for predicting recurrence-free survival (RFS) after curative resection in Hepatocellular ca...

Microbial Product Cocktails for Personalized Cancer Immunotherapy.

Nature communications
The human immune system has evolved to interact with various commensal and pathogenic bacteria in intricate and nuanced ways. While the diversity of bacteria presents fundamental challenges in understanding immune-microbe interactions, it also offers...

Spatial omics: applications and utility in profiling the tumor microenvironment.

Cancer metastasis reviews
Spatial transcriptomics has emerged as a transformative technology in biomedical research, offering unprecedented insights into gene and protein expression within their native tissue context. Unlike conventional bulk or single-cell sequencing approac...

Large-scale characterisation of the nasal microbiome redefines Staphylococcus aureus colonisation status.

Nature communications
Staphylococcus aureus colonises the nose in humans, with individuals defined as persistent, intermittent or non-carriers. Unlike the gut microbiome, the nasal microbiome has not been studied in large numbers of people. Here, we define the nasal micro...

Development and validation of a machine learning model for critical progression risk in pediatric severe community-acquired pneumonia.

Scientific reports
This study aimed to utilize various machine learning algorithms to develop a predictive model for the progression of severe community-acquired pneumonia (SCAP) in children to critical severe community-acquired pneumonia (cSCAP). Retrospective analysi...

Engaging Older Adults and Staff in the Co-Design and Evaluation of Socially Assistive Robot and Virtual Reality Activities for Long-Term Care: User-Centered Study.

JMIR aging
BACKGROUND: Apathy is common among older adults residing in long-term care (LTC) and impairs quality of life for both older adults and care providers. Few pharmacological remedies exist, and nonpharmacologic approaches that engage those with apathy r...

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis.

JMIR mHealth and uHealth
BACKGROUND: Keystroke dynamics on smartphones have emerged as a promising form of passive digital biomarker. While previous studies have explored their utility in several diseases and disorders, relatively few have examined how these dynamics change ...

What Are the Opportunities and Challenges of Using AI in Medical Education in Vietnam?

JMIR medical education
Artificial intelligence (AI) has the potential to transform medical training through adaptive learning, immersive simulations, automated assessments, and data-driven insights, offering solutions to persistent issues such as high student-to-faculty ra...

Research Status and Trends in Virtual Reality Technology for Older Adults: Bibliometric and Visual Analysis.

JMIR aging
BACKGROUND: Virtual reality (VR) technology is increasingly applied in aging-related research. Although existing bibliometric studies have focused on specific applications, such as older adults' acceptance of VR and its use in cognitive rehabilitatio...